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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Wearable-Sensor-Based Detection and Prediction of Freezing of Gait in Parkinson’s Disease: A Review
Scott Pardoel, Jonathan Kofman, Julie Nantel, et al.
Sensors (2019) Vol. 19, Iss. 23, pp. 5141-5141
Open Access | Times Cited: 156

Showing 1-25 of 156 citing articles:

A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges
Aleksandr Ometov, Viktoriia Shubina, Lucie Klus, et al.
Computer Networks (2021) Vol. 193, pp. 108074-108074
Open Access | Times Cited: 347
Wearable Sensor-Based Human Activity Recognition with Transformer Model
Iveta Dirgová Ľuptáková, Martin Kubovčík, Jiřı́ Pospı́chal
Sensors (2022) Vol. 22, Iss. 5, pp. 1911-1911
Open Access | Times Cited: 149
Measuring freezing of gait during daily-life: an open-source, wearable sensors approach
Martina Mancini, Vrutangkumar V. Shah, Samuel Stuart, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 120
Parkinson’s Disease Management via Wearable Sensors: A Systematic Review
Huma Mughal, Abdul Rehman Javed, Muhammad Rizwan, et al.
IEEE Access (2022) Vol. 10, pp. 35219-35237
Open Access | Times Cited: 75
Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
Κωνσταντίνα-Μαρία Γιαννακοπούλου, Ioanna Roussaki, Konstantinos Demestichas
Sensors (2022) Vol. 22, Iss. 5, pp. 1799-1799
Open Access | Times Cited: 69
Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
Dante Trabassi, Mariano Serrao, Tiwana Varrecchia, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3700-3700
Open Access | Times Cited: 69
Prediction of Freezing of Gait in Parkinson’s Disease Using Wearables and Machine Learning
Luigi Borzì, Ivan Mazzetta, Alessandro Zampogna, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 614-614
Open Access | Times Cited: 94
Wearable inertial sensors for human movement analysis: a five-year update
P. Di Pietro, Marco Iosa, Clive D’Souza, et al.
Expert Review of Medical Devices (2021) Vol. 18, Iss. sup1, pp. 79-94
Closed Access | Times Cited: 76
A systematic review on exercise and training-based interventions for freezing of gait in Parkinson’s disease
Moran Gilat, Pieter Ginis, Demi Zoetewei, et al.
npj Parkinson s Disease (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 65
Prediction and detection of freezing of gait in Parkinson’s disease from plantar pressure data using long short-term memory neural-networks
Gaurav Shalin, Scott Pardoel, Edward D. Lemaire, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 64
Clinical perspectives of adaptive deep brain stimulation
Matteo Guidetti, Sara Marceglia, Aaron Loh, et al.
Brain stimulation (2021) Vol. 14, Iss. 5, pp. 1238-1247
Open Access | Times Cited: 55
Assessing inertial measurement unit locations for freezing of gait detection and patient preference
Johanna O’Day, Marissa Lee, Kirsten Seagers, et al.
Journal of NeuroEngineering and Rehabilitation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 47
Remote Healthcare for Elderly People Using Wearables: A Review
José Oscar Olmedo-Aguirre, Josimar Reyes-Campos, Giner Alor‐Hernández, et al.
Biosensors (2022) Vol. 12, Iss. 2, pp. 73-73
Open Access | Times Cited: 45
Real-time detection of freezing of gait in Parkinson’s disease using multi-head convolutional neural networks and a single inertial sensor
Luigi Borzì, Luis Sigcha, Daniel Rodríguez-Martín, et al.
Artificial Intelligence in Medicine (2022) Vol. 135, pp. 102459-102459
Closed Access | Times Cited: 37
Parkinson’s Disease Induced Gain Freezing Detection using Gated Recurrent Units Optimized by Modified Crayfish Optimization Algorithm
Nebojša Bačanin, Aleksandar Petrović, Luka Jovanovic, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 12
Detecting Parkinson’s disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics
Luka Jovanovic, Robertas Damaševičius, Rade Matić, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2031-e2031
Open Access | Times Cited: 8
A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects
Amit Salomon, Eran Gazit, Pieter Ginis, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Deep Phenotyping of Parkinson’s Disease
E. Ray Dorsey, Larsson Omberg, Emma Waddell, et al.
Journal of Parkinson s Disease (2020) Vol. 10, Iss. 3, pp. 855-873
Open Access | Times Cited: 50
Early Detection of Freezing of Gait during Walking Using Inertial Measurement Unit and Plantar Pressure Distribution Data
Scott Pardoel, Gaurav Shalin, Julie Nantel, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2246-2246
Open Access | Times Cited: 45
A real-world study of wearable sensors in Parkinson’s disease
Jamie L. Adams, Karthik Dinesh, Christopher W. Snyder, et al.
npj Parkinson s Disease (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 43
Stepping up to meet the challenge of freezing of gait in Parkinson’s disease
Simon J.G. Lewis, Stewart A. Factor, Nir Giladi, et al.
Translational Neurodegeneration (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 28
Multimodal Data for the Detection of Freezing of Gait in Parkinson’s Disease
Wei Zhang, Zhuokun Yang, Hantao Li, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 28
On‐Demand Cueing for Freezing of Gait in Parkinson's Disease: A Randomized Controlled Trial
Demi Zoetewei, Talia Herman, Pieter Ginis, et al.
Movement Disorders (2024) Vol. 39, Iss. 5, pp. 876-886
Open Access | Times Cited: 7
Unveiling the Unpredictable in Parkinson’s Disease: Sensor-Based Monitoring of Dyskinesias and Freezing of Gait in Daily Life
Alessandro Zampogna, Luigi Borzì, Domiziana Rinaldi, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 440-440
Open Access | Times Cited: 7
An efficient tool for Parkinson's disease detection and severity grading based on time-frequency and fuzzy features of cumulative gait signals through improved LSTM networks
Farhad Abedinzadeh Torghabeh, Yeganeh Modaresnia, Seyyed Abed Hosseini
Medicine in Novel Technology and Devices (2024) Vol. 22, pp. 100297-100297
Open Access | Times Cited: 5
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